Power distribution area low-carbon loss reduction optimization method, device, equipment and medium

Abstract

The invention provides a power distribution area low-carbon loss reduction optimization method and device, equipment and a medium, and relates to the technical field of power distribution area line loss, and the method comprises the steps: obtaining a topological structure and measurement information of a power distribution area, calculating the line loss of a terminal user of the power distribution area, and carrying out the carbon emission evaluation; constructing a topological structure model of the power distribution area; solving the topological structure model of the power distribution area by adopting an intelligent optimization algorithm to generate a plurality of topological structure optimization schemes; screening out an optimal topological structure optimization scheme from the plurality of topological structure optimization schemes, and adjusting the switching state of the power distribution area according to the optimal topological structure optimization scheme to realize low-carbon loss-reduction optimization of the power distribution area of the topological structure; according to the method, the accuracy of the topological structure data can be improved, the problems that the topological structure data of the power distribution network is difficult to check and line loss calculation is not accurate are solved, the calculation and operation and maintenance cost is remarkably reduced, the safety and stability of a power distribution area are guaranteed, and the method has good robustness and universality.

Description

Technical Field

[0001] The present invention relates to the technical field of line loss in a distribution station area, and in particular to a low-carbon loss reduction optimization method, device, equipment and medium for a distribution station area. Background Art

[0002] The distribution substation is the terminal organization of the distribution network, which is directly connected to the power users. There are a large number of them, with complex wiring and changeable operation modes. The topological structure mainly refers to the physical connection relationship between the end user and the distribution transformer. In the existing technology, unpredictable human factors such as adjustment of the operation mode at the project site and line reconnection will cause the low-voltage topological grid to change frequently, resulting in the topological connection records between users and distribution transformers in the system often being inconsistent with the actual situation, which in turn leads to equipment file maintenance errors, inaccurate calculation of line loss management indicators and other problems. The corresponding relationship between households and transformers is chaotic, the ledger information is incomplete, and it is difficult to verify the data, resulting in errors in the substation topological information, difficulty in fault location, high operation and maintenance costs, low operating efficiency, high substation losses, and distorted data such as line loss calculations. The line loss in high-loss substations often exceeds 10%, which greatly wastes power grid resources. Summary of the invention

[0003] The purpose of the present invention is to provide a low-carbon loss reduction optimization method, device, equipment and medium for distribution network areas, which can improve the accuracy of topological structure data, solve the problems of difficulty in verifying distribution network topological structure data and inaccurate line loss calculation, significantly reduce calculation and operation and maintenance costs, and ensure the safety and stability of distribution network areas.

[0004] The technical solution of the present invention is: In a first aspect, the present invention provides a method for optimizing low-carbon loss reduction in a distribution station area, which comprises the following steps: Obtain the topological structure and measurement information of the distribution station area, calculate the line loss of the end users in the distribution station area based on the measurement information, and perform carbon emission assessment to obtain the carbon emission assessment result; Construct a topological structure model of the distribution area based on the distribution area topology and measurement information and the line loss of the end users; An intelligent optimization algorithm is used to solve the topological structure model of the distribution area and generate multiple topological structure optimization schemes; According to the carbon emission assessment results, the optimal topology optimization scheme is screened out from multiple topology optimization schemes, and the switch state of the distribution station area is adjusted according to the optimal topology optimization scheme to achieve low-carbon loss reduction optimization of the distribution station area in the topology structure.

[0005] Furthermore, the calculation formula for calculating the line loss of the end user in the distribution station area includes: , , , In the formula, P jt,g Indicates the power supply of the distribution station area. i Indicates i Users, j Indicates j Distribution area, N j Represents a collection of users, P jt Indicates the active power on the distribution transformer side. h it Indicates the active power of photovoltaic surplus electricity. H jt Indicates the dedicated photovoltaic active power. P jt,e represents the total power transmitted in the reverse direction, P jt,s Indicates the power sold in the distribution station area. P jt,r Indicates the power consumption of the power distribution management equipment on the distribution transformer side. p it Indicates the user's active power. ∆P jt Indicates the user metering compensation power. P jt,Loss Indicates the statistical line loss of the end users in the distribution station area.

[0006] Furthermore, the process of constructing the topological structure model of the distribution station area based on the topological structure and measurement information of the distribution station area and the line loss of the terminal user includes: Establish the line loss equation based on the distribution area topology, measurement information and the line loss of the end user; The total heat loss of all users is calculated by integrating the heat loss of all branches in the distribution area through the line loss equation; Based on the total heat loss of all users, the line loss of any distribution station area is calculated by the multivariate linear regression equation; The topological structure model of the distribution area is constructed with the line loss of any distribution area as the target variable matrix.

[0007] Furthermore, the calculation formula of the above line loss equation includes: , , In the formula, P jt,Loss Indicates the statistical line loss of the terminal users in the distribution area. Indicates j Power supply branch line under the distribution station area l The heat loss, Indicates jThe power supply branch circuit collection of the distribution station area, Indicates abnormal topology, represents a collection of abnormal topologies, Indicates the active power of abnormal topology, Indicates the power supply branch l The active current transmitted, Indicates branch l The reactive current transmitted, Representation circuit l The resistance parameters, Indicates the power supply branch l Next user collection, Indicates user i The active current, Indicates the power supply branch l Subordinate users i The power factor angle.

[0008] Furthermore, the calculation formula for the total heat loss of all the above users includes: , In the formula, represents the total heat loss of all users, Indicates j Power supply branch line under the distribution station area l The heat loss, Indicates the power supply branch l Subordinate users i The power factor angle, Indicates the power supply branch l Subordinate users i The power factor angle of 1, Indicates the power supply branch l Subordinate users i The power factor angle of 2, Indicates user i 1 active current, Indicates the user i 2 active current, Indicates user i The active current, N j Represents a collection of users, C i Indicates the user resistance coefficient, C i1,i2 Represents the mutual resistance coefficient between users, i1, i2 Represents two different users.

[0009] Furthermore, the above-mentioned calculation formula for calculating the line loss of any distribution station area by using the multivariate linear regression equation includes:

[0010] In the formula, P j,Loss Indicates any distribution station area j Statistical line loss of end users, D j represents the regression coefficient of the distribution station area, P jt Indicates the distribution station area j The total power supply at time t, D i represents the user regression coefficient, P it represents the electric energy consumed by user i at time t, N j Represents a collection of users.

[0011] Furthermore, the objective function of the topological structure model of the above distribution station area is: , In the formula, is a coefficient vector, t represents the time of data collection (t=1,2,...,T), T represents the final time of data collection, Represents the target variable matrix Middle t Timing line loss, Represents the coefficient vector The transposed vector of ; Indicates the feature matrix t A vector of time-series power samples, represents the regularization weight, is the mixing parameter that controls the regularization ratio, express The 1-norm of express The 2-norm of .

[0012] Furthermore, the above intelligent optimization algorithm adopts one or more of a genetic algorithm, a particle swarm algorithm, an ant colony algorithm and a simulated annealing algorithm.

[0013] In a second aspect, a low-carbon loss reduction optimization device for a distribution station area includes: A carbon emission assessment module is used to obtain the topological structure and measurement information of the distribution station area, calculate the line loss of the end users in the distribution station area based on the measurement information, and perform carbon emission assessment to obtain a carbon emission assessment result; A model building module is used to build a topological structure model of a distribution area based on the topological structure and measurement information of the distribution area and the line loss of the terminal users; The model calculation module is used to solve the topological structure model of the distribution station area using an intelligent optimization algorithm and generate multiple topological structure optimization solutions; The loss reduction optimization module is used to select the optimal topology optimization scheme from multiple topology optimization schemes according to the carbon emission assessment results, adjust the switch state of the distribution station area according to the optimal topology optimization scheme, and realize low-carbon loss reduction optimization of the distribution station area of ​​the topology structure.

[0014] Furthermore, the calculation formula for calculating the line loss of the terminal users in the distribution station area includes: , , , In the formula, P jt,g Indicates the power supply of the distribution station area. i Indicates i Users, j Indicates j Distribution area, N j Represents a collection of users, P jt Indicates the active power on the distribution transformer side. h it Indicates the active power of photovoltaic surplus electricity. H jt Indicates the dedicated photovoltaic active power. P jt,e represents the total power transmitted in the reverse direction, P jt,s Indicates the power sold in the distribution station area. P jt,r Indicates the power consumption of the power distribution management equipment on the distribution transformer side. p it Indicates the user's active power. ∆P jt Indicates the user metering compensation power. P jt,Loss Indicates the statistical line loss of the end users in the distribution station area.

[0015] Furthermore, the process of constructing the topological structure model of the distribution station area based on the topological structure and measurement information of the distribution station area and the line loss of the terminal user includes: Establish the line loss equation based on the distribution area topology, measurement information and the line loss of the end user; The total heat loss of all users is calculated by integrating the heat loss of all branches in the distribution area through the line loss equation; Based on the total heat loss of all users, the line loss of any distribution station area is calculated by the multivariate linear regression equation; The topological structure model of the distribution area is constructed with the line loss of any distribution area as the target variable matrix.

[0016] Furthermore, the calculation formula of the above line loss equation includes: , , In the formula, P jt,Loss Indicates the statistical line loss of the terminal users in the distribution area. Indicates j Power supply branch line under the distribution station area l The heat loss, Indicates j The power supply branch circuit collection of the distribution station area, Indicates abnormal topology, represents a collection of abnormal topologies, Indicates the active power of abnormal topology, Indicates the power supply branch l The active current transmitted, Indicates branch l The reactive current transmitted, Representation circuit l The resistance parameters, Indicates the power supply branch l Next user collection, Indicates user i The active current, Indicates the power supply branch l Subordinate users i The power factor angle.

[0017] Furthermore, the calculation formula for the total heat loss of all the above users includes: , In the formula, represents the total heat loss of all users, Indicates j Power supply branch line under the distribution station area l The heat loss, Indicates the power supply branch l Subordinate users i The power factor angle, Indicates the power supply branch l Subordinate users i The power factor angle of 1, Indicates the power supply branch l Subordinate users i The power factor angle of 2, Indicates user i 1 active current, Indicates the useri 2 active current, Indicates user i The active current, N j Represents a collection of users, C i Indicates the user resistance coefficient, C i1,i2 Represents the mutual resistance coefficient between users, i1, i2 Represents two different users.

[0018] Furthermore, the above-mentioned calculation formula for calculating the line loss of any distribution station area by using the multivariate linear regression equation includes:

[0019] In the formula, P j,Loss Indicates any distribution station area j Statistical line loss of end users, D j represents the regression coefficient of the distribution station area, P jt Indicates the distribution station area j The total power supply at time t, D i represents the user regression coefficient, P it represents the electric energy consumed by user i at time t, N j Represents a collection of users.

[0020] Furthermore, the objective function of the topological structure model of the above distribution station area is: , In the formula, is a coefficient vector, t represents the time of data collection (t=1,2,...,T), T represents the final time of data collection, Represents the target variable matrix Middle t Timing line loss, Represents the coefficient vector The transposed vector of ; Indicates the feature matrix t A vector of time-series power samples, represents the regularization weight, is the mixing parameter that controls the regularization ratio, express The 1-norm of express The 2-norm of .

[0021] Furthermore, the above intelligent optimization algorithm adopts one or more of a genetic algorithm, a particle swarm algorithm, an ant colony algorithm and a simulated annealing algorithm.

[0022] In a third aspect, the present invention provides an electronic device, comprising: A memory for storing one or more programs; processor; When the one or more programs are executed by the processor, a low-carbon loss reduction optimization method for a distribution station area as described in any one of the first aspects is implemented.

[0023] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements a low-carbon loss reduction optimization method for a distribution station area as described in any one of the first aspects above.

[0024] Compared with the prior art, the present invention has at least the following advantages or beneficial effects: (1) A low-carbon loss reduction optimization method for a distribution station area of ​​the present invention calculates the line loss of the terminal users in the distribution station area by obtaining the topological structure and measurement information of the distribution station area, so that the calculated line loss result is more accurate; (2) The present invention constructs a topological structure model of the distribution network area and solves the topological structure model of the distribution network area using an intelligent optimization algorithm, generates multiple topological structure optimization schemes, and selects the optimal scheme in combination with the carbon emission assessment results, thereby significantly improving the accuracy of the topological structure data, solving the problems of difficulty in verifying the topological structure data of the distribution network and inaccurate line loss calculation, significantly reducing the computing and operation and maintenance costs, ensuring the safety and stability of the distribution network area, and having good robustness and versatility. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0026] Figure 1 A step diagram of a low-carbon loss reduction optimization method for a distribution station area according to the present invention; Figure 2 The figure is a schematic structural block diagram of an electronic device according to an embodiment of the present invention.

[0027] Icon: 101, memory; 102, processor; 103, communication interface. DETAILED DESCRIPTION

[0028] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0029] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0030] It should be noted that, in this article, the term "comprises" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprises..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0031] In conjunction with the accompanying drawings, some embodiments of the present invention are described in detail below. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0032] Example 1 See also Figure 1 , Figure 1 The figure shows a step diagram of a low-carbon loss reduction optimization method for a distribution station area provided by an embodiment of the present invention.

[0033] In a first aspect, the present invention provides a method for optimizing low-carbon loss reduction in a distribution station area, which comprises the following steps: Obtain the topological structure and measurement information of the distribution station area, calculate the line loss of the end users in the distribution station area based on the measurement information, and perform carbon emission assessment to obtain the carbon emission assessment result; Construct a topological structure model of the distribution area based on the distribution area topology and measurement information and the line loss of the end users; An intelligent optimization algorithm is used to solve the topological structure model of the distribution area and generate multiple topological structure optimization schemes; According to the carbon emission assessment results, the optimal topology optimization scheme is screened out from multiple topology optimization schemes, and the switch state of the distribution station area is adjusted according to the optimal topology optimization scheme to achieve low-carbon loss reduction optimization of the distribution station area in the topology structure.

[0034] Among them, the process of carbon emission assessment includes evaluating the total carbon emissions of the distribution station area under the current operating state in combination with the carbon emission factors in the power system, and analyzing the contribution of line loss to carbon emissions to obtain the carbon emission assessment results; specifically, when the contribution of line loss to carbon emissions is low, it means that the user only bears the line heat loss output of this distribution station area, and there is no abnormality; and when a user has an abnormal topology, it should no longer participate in the line heat loss composition of the substation, and its larger active power will be directly superimposed on the original heat loss in the form of a negative value, and the contribution will be significantly greater.

[0035] It should be noted that in the embodiments of the present invention, the topological structure data information is recorded in the energy Internet marketing service system, and the topological asset changes caused by the latest equipment registration and load switching are updated on the system; the power, voltage, current and other measurement data information are stored in the electricity consumption information collection system, and the meter data is collected daily through the distribution station area concentrator and uploaded to the system database regularly. However, due to the security protocols and data transmission barriers between systems, it is very difficult to deploy algorithm models directly on the two systems. The data middle platform, as an integrated data integration and analysis platform for power companies, brings together massive assets and collected data from various business systems; low-voltage topology and measurement information will also be pushed to its database synchronously, so the platform can be used to complete batch usage and deploy scripts to realize the monitoring and management of abnormal topological data, and finally closed-loop rectification in each system in the form of work orders.

[0036] As a preferred implementation, the calculation formula for calculating the line loss of the terminal users in the distribution station area includes: , , , In the formula, P jt,g Indicates the power supply of the distribution station area. i Indicates i Users, j Indicates j Distribution area, N j Represents a collection of users, P jt Indicates the active power on the distribution transformer side. h it Indicates the active power of photovoltaic surplus electricity. H jt Indicates the dedicated photovoltaic active power. P jt,e represents the total power transmitted in the reverse direction, P jt,s Indicates the power sold in the distribution station area.P jt,r Indicates the power consumption of the power distribution management equipment on the distribution transformer side. p it Indicates the user's active power. ∆P jt Indicates the user metering compensation power. P jt,Loss Indicates the statistical line loss of the end users in the distribution station area.

[0037] As a preferred implementation, the process of constructing a topological structure model of a distribution station area based on the topological structure and measurement information of the distribution station area and the line loss of the terminal user includes: Establish the line loss equation based on the distribution area topology, measurement information and the line loss of the end user; The total heat loss of all users is calculated by integrating the heat loss of all branches in the distribution area through the line loss equation; Based on the total heat loss of all users, the line loss of any distribution station area is calculated by the multivariate linear regression equation; The topological structure model of the distribution area is constructed with the line loss of any distribution area as the target variable matrix.

[0038] As a preferred implementation, the calculation formula of the line loss equation includes: , , In the formula, P jt,Loss Indicates the statistical line loss of the terminal users in the distribution area. Indicates j Power supply branch line under the distribution station area l The heat loss, Indicates j The power supply branch circuit collection of the distribution station area, Indicates abnormal topology, represents a collection of abnormal topologies, Indicates the active power of abnormal topology, Indicates the power supply branch l The active current transmitted, Indicates branch l The reactive current transmitted, Representation circuit l The resistance parameters, Indicates the power supply branch l Next user collection, Indicates user i The active current, Indicates the power supply branch l Subordinate users i The power factor angle.

[0039] As a preferred implementation, the calculation formula for the total heat loss of all users includes: , In the formula, represents the total heat loss of all users, Indicates j Power supply branch line under the distribution station area l The heat loss, Indicates the power supply branch l Subordinate users i The power factor angle, Indicates the power supply branch l Subordinate users i The power factor angle of 1, Indicates the power supply branch l Subordinate users i The power factor angle of 2, Indicates user i 1 active current, Indicates the user i 2 active current, Indicates user i The active current, N j Represents a collection of users, C i Indicates the user resistance coefficient, C i1,i2 Represents the mutual resistance coefficient between users, i1, i2 Represents two different users.

[0040] As a preferred implementation, the formula for calculating the line loss of any distribution station area by using a multivariate linear regression equation includes: , In the formula, P j,Loss Indicates any distribution station area j Statistical line loss of end users, D j represents the regression coefficient of the distribution station area, P jt Indicates the distribution station area j The total power supply at time t, D i represents the user regression coefficient, P it represents the electric energy consumed by user i at time t, N j Represents a collection of users.

[0041] As a preferred implementation, the objective function of the topological structure model of the distribution station area is: , In the formula, is a coefficient vector, t represents the time of data collection (t=1,2,...,T), T represents the final time of data collection, Represents the target variable matrix Middle t Timing line loss, Represents the coefficient vector The transposed vector of ; Indicates the feature matrix t A vector of time-series power samples, represents the regularization weight, is the mixing parameter that controls the regularization ratio, express The 1-norm of express The 2-norm of .

[0042] As a preferred implementation, the intelligent optimization algorithm adopts one or more of a genetic algorithm, a particle swarm algorithm, an ant colony algorithm and a simulated annealing algorithm.

[0043] As a preferred implementation, the optimal topology optimization scheme is screened out from multiple topology optimization schemes based on the carbon emission assessment results. The topology optimization scheme with the highest assessment result score can be selected as the optimal topology optimization scheme from among many assessment results, or each assessment result can be combined with other dimensional factors to select the optimal topology optimization scheme. This application does not make specific limitations.

[0044] As a preferred implementation, the switch state of the distribution station area is adjusted according to the optimal topology optimization scheme, and the switch state of the distribution station area can be adjusted according to the parameter details clearly specified in the optimal topology optimization scheme.

[0045] In a second aspect, a low-carbon loss reduction optimization device for a distribution station area includes: A carbon emission assessment module is used to obtain the topological structure and measurement information of the distribution station area, calculate the line loss of the end users in the distribution station area based on the measurement information, and perform carbon emission assessment to obtain a carbon emission assessment result; A model building module is used to build a topological structure model of a distribution area based on the topological structure and measurement information of the distribution area and the line loss of the terminal users; The model calculation module is used to solve the topological structure model of the distribution station area using an intelligent optimization algorithm and generate multiple topological structure optimization solutions; The loss reduction optimization module is used to select the optimal topology optimization scheme from multiple topology optimization schemes according to the carbon emission assessment results, adjust the switch state of the distribution station area according to the optimal topology optimization scheme, and realize low-carbon loss reduction optimization of the distribution station area of ​​the topology structure.

[0046] It should be noted that in the embodiments of the present invention, the topological structure data information is recorded in the energy Internet marketing service system, and the topological asset changes caused by the latest equipment registration and load switching are updated on the system; the power, voltage, current and other measurement data information are stored in the electricity consumption information collection system, and the meter data is collected daily through the distribution station area concentrator and uploaded to the system database regularly. However, due to the security protocols and data transmission barriers between systems, it is very difficult to deploy algorithm models directly on the two systems. The data middle platform, as an integrated data integration and analysis platform for power companies, brings together massive assets and collected data from various business systems; low-voltage topology and measurement information will also be pushed to its database synchronously, so the platform can be used to complete batch usage and deploy scripts to realize the monitoring and management of abnormal topological data, and finally closed-loop rectification in each system in the form of work orders.

[0047] As a preferred implementation, the calculation formula for calculating the line loss of the terminal users in the distribution station area includes:

[0048]

[0049]

[0050] In the formula, P jt,g Indicates the power supply of the distribution station area. i Indicates i Users, j Indicates j Distribution area, N j Represents a collection of users, P jt Indicates the active power on the distribution transformer side. h it Indicates the active power of photovoltaic surplus electricity. H jt Indicates the dedicated photovoltaic active power. P jt,e represents the total power transmitted in the reverse direction, P jt,s Indicates the power sold in the distribution station area. P jt,r Indicates the power consumption of the power distribution management equipment on the distribution transformer side. p it Indicates the user's active power.∆P jt Indicates the user metering compensation power. P jt,Loss Indicates the statistical line loss of the end users in the distribution station area.

[0051] As a preferred implementation, the process of constructing a topological structure model of a distribution station area based on the topological structure and measurement information of the distribution station area and the line loss of the terminal user includes: Establish the line loss equation based on the distribution area topology, measurement information and the line loss of the end user; The total heat loss of all users is calculated by integrating the heat loss of all branches in the distribution area through the line loss equation; Based on the total heat loss of all users, the line loss of any distribution station area is calculated by the multivariate linear regression equation; The topological structure model of the distribution area is constructed with the line loss of any distribution area as the target variable matrix.

[0052] As a preferred implementation, the calculation formula of the line loss equation includes: , , In the formula, P jt,Loss Indicates the statistical line loss of the terminal users in the distribution area. Indicates j Power supply branch line under the distribution station area l The heat loss, Indicates j The power supply branch circuit collection of the distribution station area, Indicates abnormal topology, represents a collection of abnormal topologies, Indicates the active power of abnormal topology, Indicates the power supply branch l The active current transmitted, Indicates branch l The reactive current transmitted, Representation circuit l The resistance parameters, Indicates the power supply branch l Next user collection, Indicates user i The active current, Indicates the power supply branch l Subordinate users i The power factor angle.

[0053] As a preferred implementation, the calculation formula for the total heat loss of all users includes: , In the formula, represents the total heat loss of all users, Indicates j Power supply branch line under the distribution station area l The heat loss, Indicates the power supply branch l Subordinate users i The power factor angle, Indicates the power supply branch l Subordinate users i The power factor angle of 1, Indicates the power supply branch l Subordinate users i The power factor angle of 2, Indicates user i 1 active current, Indicates the user i 2 active current, Indicates user i The active current, N j Represents a collection of users, C i Indicates the user resistance coefficient, C i1,i2 Represents the mutual resistance coefficient between users, i1, i2 Represents two different users.

[0054] As a preferred implementation, the formula for calculating the line loss of any distribution station area by using a multivariate linear regression equation includes: , In the formula, P j,Loss Indicates any distribution station area j Statistical line loss of end users, D j represents the regression coefficient of the distribution station area, P jt Indicates the distribution station area j The total power supply at time t, D i represents the user regression coefficient, P it represents the electric energy consumed by user i at time t, N j Represents a collection of users.

[0055] As a preferred implementation, the objective function of the topological structure model of the distribution station area is: , In the formula, is a coefficient vector, t represents the time of data collection (t=1,2,...,T), T represents the final time of data collection, Represents the target variable matrix Middle t Timing line loss, Represents the coefficient vector The transposed vector of ; Indicates the feature matrix t A vector of time-series power samples, represents the regularization weight, is the mixing parameter that controls the regularization ratio, express The 1-norm of express The 2-norm of .

[0056] As a preferred implementation, the intelligent optimization algorithm adopts one or more of a genetic algorithm, a particle swarm algorithm, an ant colony algorithm and a simulated annealing algorithm.

[0057] As a preferred implementation, the optimal topology optimization scheme is screened out from multiple topology optimization schemes based on the carbon emission assessment results. The topology optimization scheme with the highest assessment result score can be selected as the optimal topology optimization scheme from among many assessment results, or each assessment result can be combined with other dimensional factors to select the optimal topology optimization scheme. This application does not make specific limitations.

[0058] As a preferred implementation, the switch state of the distribution station area is adjusted according to the optimal topology optimization scheme, and the switch state of the distribution station area can be adjusted according to the parameter details clearly specified in the optimal topology optimization scheme.

[0059] Example 2 See also Figure 2 , Figure 2 A schematic structural block diagram of an electronic device provided by an embodiment of the present invention.

[0060] An electronic device includes a memory 101, a processor 102 and a communication interface 103, wherein the memory 101, the processor 102 and the communication interface 103 are electrically connected to each other directly or indirectly to realize data transmission or interaction. For example, these components can be electrically connected to each other through one or more communication buses or signal lines. The memory 101 can be used to store software programs and modules, and the processor 102 executes various functional applications and data processing by executing the software programs and modules stored in the memory 101. The communication interface 103 can be used to communicate signaling or data with other node devices.

[0061] Among them, the memory 101 can be, but is not limited to, a random access memory (RAM), a read only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable read-only memory (EEPROM), etc.

[0062] The processor 102 may be an integrated circuit chip with signal processing capability. The processor 102 may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0063] It is understood that the structure shown in the figure is for illustration only, and a method for optimizing low-carbon loss reduction in a distribution station area may also include more or fewer components than those shown in the figure, or have a different configuration than those shown in the figure. Each component shown in the figure may be implemented by hardware, software, or a combination thereof.

[0064] In the embodiments provided by the present invention, it should be understood that the disclosed method can also be implemented in other ways. The embodiments described above are merely schematic. For example, the flowcharts or block diagrams in the accompanying drawings show the possible implementation architecture, functions and operations of the methods and computer program products according to multiple embodiments of the present invention. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of a code, and the module, a program segment or a part of a code contains one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or the flowchart, and the combination of boxes in the block diagram and / or the flowchart can be implemented with a dedicated hardware-based system that performs a specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0065] In addition, the functional modules in the various embodiments of the present invention may be integrated together to form an independent part, or each module may exist independently, or two or more modules may be integrated to form an independent part.

[0066] If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage media include: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, and other media that can store program codes.

[0067] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

[0068] It is obvious to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential features of the present invention. Therefore, the embodiments should be regarded as exemplary and non-restrictive from any point of view, and the scope of the present invention is defined by the appended claims rather than the above description, and it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present invention, and any reference numerals in the claims should not be regarded as limiting the claims involved.

Claims

1. A low-carbon loss reduction optimization method for a distribution station area, characterized in that: The following steps are involved: Obtain the topological structure and measurement information of the distribution station area, calculate the line loss of the end users in the distribution station area based on the measurement information, and perform carbon emission assessment to obtain the carbon emission assessment result; Construct a topological structure model of the distribution area based on the distribution area topology and measurement information and the line loss of the end users; An intelligent optimization algorithm is used to solve the topological structure model of the distribution area and generate multiple topological structure optimization schemes; According to the carbon emission assessment results, the optimal topology optimization scheme is screened out from multiple topology optimization schemes, and the switch state of the distribution station area is adjusted according to the optimal topology optimization scheme to achieve low-carbon loss reduction optimization of the distribution station area in the topology structure.

2. A low-carbon loss reduction optimization method for distribution station area according to claim 1, characterized in that: The calculation formula for calculating the line loss of the terminal users in the distribution station area includes: ， ， ， In the formula, P jt,g Indicates the power supply of the distribution station area. i Indicates i Users, j Indicates j Distribution area, N j Represents a collection of users, P jt Indicates the active power on the distribution transformer side. h it Indicates the active power of photovoltaic surplus electricity. H jt Indicates the dedicated photovoltaic active power. P jt,e represents the total power transmitted in the reverse direction, P jt,s Indicates the power sold in the distribution station area. P jt,r Indicates the power consumption of the power distribution management equipment on the distribution transformer side. p it Indicates the user's active power. ∆P jt Indicates the user metering compensation power. P jt,Loss Indicates the statistical line loss of the end users in the distribution station area.

3. A low-carbon loss reduction optimization method for a distribution station area as claimed in claim 1, characterized in that: The process of constructing a topological structure model of a distribution station area based on the topological structure of the distribution station area, measurement information, and line loss of terminal users includes: Establish the line loss equation based on the distribution area topology, measurement information and the line loss of the end user; The total heat loss of all users is calculated by integrating the heat loss of all branches in the distribution area through the line loss equation; Based on the total heat loss of all users, the line loss of any distribution station area is calculated by the multivariate linear regression equation; The topological structure model of the distribution area is constructed with the line loss of any distribution area as the target variable matrix.

4. A low-carbon loss reduction optimization method for distribution station area as claimed in claim 3, characterized in that: The calculation formula of the line loss equation includes: ， ， In the formula, P jt,Loss Indicates the statistical line loss of the terminal users in the distribution area. Indicates j Power supply branch line under the distribution station area l The heat loss, Indicates j The power supply branch circuit collection of the distribution station area, Indicates abnormal topology, represents a collection of abnormal topologies, Indicates the active power of abnormal topology, Indicates the power supply branch l The active current transmitted, Indicates branch l The reactive current transmitted, Representation circuit l The resistance parameters, Indicates the power supply branch l Next user collection, Indicates user i The active current, Indicates the power supply branch l Subordinate users i The power factor angle.

5. A low-carbon loss reduction optimization method for distribution station area as claimed in claim 3, characterized in that: The calculation formula for the total heat loss of all users includes: ， In the formula, represents the total heat loss of all users, Indicates j Power supply branch line under the distribution station area l The heat loss, Indicates the power supply branch l Subordinate users i The power factor angle, Indicates the power supply branch l Subordinate users i The power factor angle of 1, Indicates the power supply branch l Subordinate users i The power factor angle of 2, Indicates user i 1 active current, Indicates the user i 2 active current, Indicates user i The active current, N j Represents a collection of users, C i Indicates the user resistance coefficient, C i1,i2 Represents the mutual resistance coefficient between users, i1, i2 Represents two different users.

6. A low-carbon loss reduction optimization method for distribution station area as claimed in claim 3, characterized in that: The calculation formula for calculating the line loss of any distribution station area by using the multivariate linear regression equation includes: ， In the formula, P j,Loss Indicates any distribution station area j Statistical line loss of end users, D j represents the regression coefficient of the distribution station area, P jt Indicates the distribution station area j The total power supply at time t, D i represents the user regression coefficient, P it represents the electric energy consumed by user i at time t, N j Represents a collection of users.

7. A low-carbon loss reduction optimization method for a distribution station area as claimed in claim 1, characterized in that: The objective function of the topological structure model of the distribution station area is: ， In the formula, is a coefficient vector, t represents the time of data collection (t=1,2,...,T), T represents the final time of data collection, Represents the target variable matrix Middle t Timing line loss, Represents the coefficient vector The transposed vector of ; Indicates the feature matrix t A vector of time-series power samples, represents the regularization weight, is the mixing parameter that controls the regularization ratio, express The 1-norm of express The 2-norm of .

8. A low-carbon loss reduction optimization method for a distribution station area as claimed in claim 1, characterized in that: The intelligent optimization algorithm adopts one or more of a genetic algorithm, a particle swarm algorithm, an ant colony algorithm and a simulated annealing algorithm.

9. A low-carbon loss reduction optimization device for a distribution station area, characterized in that: include: A carbon emission assessment module is used to obtain the topological structure and measurement information of the distribution station area, calculate the line loss of the end users in the distribution station area based on the measurement information, and perform carbon emission assessment to obtain a carbon emission assessment result; A model building module is used to build a topological structure model of a distribution area based on the topological structure and measurement information of the distribution area and the line loss of the terminal users; The model calculation module is used to solve the topological structure model of the distribution station area using an intelligent optimization algorithm and generate multiple topological structure optimization solutions; The loss reduction optimization module is used to select the optimal topology optimization scheme from multiple topology optimization schemes according to the carbon emission assessment results, adjust the switch state of the distribution station area according to the optimal topology optimization scheme, and realize low-carbon loss reduction optimization of the distribution station area of ​​the topology structure.

10. A low-carbon loss reduction optimization device for a distribution station area as claimed in claim 9, characterized in that: The calculation formula for calculating the line loss of the terminal users in the distribution station area includes: ， ， ， In the formula, P jt,g Indicates the power supply of the distribution station area. i Indicates i Users, j Indicates j Distribution area, N j Represents a collection of users, P jt Indicates the active power on the distribution transformer side. h it Indicates the active power of photovoltaic surplus electricity. H jt Indicates the dedicated photovoltaic active power. P jt,e represents the total power transmitted in the reverse direction, P jt,s Indicates the power sold in the distribution station area. P jt,r Indicates the power consumption of the power distribution management equipment on the distribution transformer side. p it Indicates the user's active power. ∆P jt Indicates the user metering compensation power. P jt,Loss Indicates the statistical line loss of the end users in the distribution station area.

11. A low-carbon loss reduction optimization device for a distribution station area as claimed in claim 9, characterized in that: The process of constructing a topological structure model of a distribution station area based on the topological structure of the distribution station area, measurement information, and line loss of terminal users includes: Establish the line loss equation based on the distribution area topology, measurement information and the line loss of the end user; The total heat loss of all users is calculated by integrating the heat loss of all branches in the distribution area through the line loss equation; Based on the total heat loss of all users, the line loss of any distribution station area is calculated by the multivariate linear regression equation; The topological structure model of the distribution area is constructed with the line loss of any distribution area as the target variable matrix.

12. A low-carbon loss reduction optimization device for a distribution station area as claimed in claim 11, characterized in that: The calculation formula of the line loss equation includes: ， ， In the formula, P jt,Loss Indicates the statistical line loss of the terminal users in the distribution area. Indicates j Power supply branch line under the distribution station area l The heat loss, Indicates j The power supply branch circuit collection of the distribution station area, Indicates abnormal topology, represents a collection of abnormal topologies, Indicates the active power of abnormal topology, Indicates the power supply branch l The active current transmitted, Indicates branch l The reactive current transmitted, Representation circuit l The resistance parameters, Indicates the power supply branch l Next user collection, Indicates user i The active current, Indicates the power supply branch l Subordinate users i The power factor angle.

13. A low-carbon loss reduction optimization device for a distribution station area as claimed in claim 11, characterized in that: The calculation formula for the total heat loss of all users includes: ， In the formula, represents the total heat loss of all users, Indicates j Power supply branch line under the distribution station area l The heat loss, Indicates the power supply branch l Subordinate users i The power factor angle, Indicates the power supply branch l Subordinate users i The power factor angle of 1, Indicates the power supply branch l Subordinate users i The power factor angle of 2, Indicates user i The active current, Indicates user i 1 active current, Indicates the user i 2 active current, N j Represents a collection of users, C i Indicates the user resistance coefficient, C i1,i2 Represents the mutual resistance coefficient between users, i1, i2 Represents two different users.

14. A low-carbon loss reduction optimization device for a distribution station area as claimed in claim 11, characterized in that: The calculation formula for calculating the line loss of any distribution station area by using the multivariate linear regression equation includes: ， In the formula, P j,Loss Indicates any distribution station area j Statistical line loss of end users, D j represents the regression coefficient of the distribution station area, P jt Indicates the distribution station area j The total power supply at time t, D i represents the user regression coefficient, P it represents the electric energy consumed by user i at time t, N j Represents a collection of users.

15. A low-carbon loss reduction optimization device for a distribution station area as claimed in claim 9, characterized in that: The objective function of the topological structure model of the distribution station area is: ， In the formula, is a coefficient vector, t represents the time of data collection (t=1,2,...,T), T represents the final time of data collection, Represents the target variable matrix Middle t Timing line loss, Represents the coefficient vector The transposed vector of ; Indicates the feature matrix t A vector of time-series power samples, represents the regularization weight, is the mixing parameter that controls the regularization ratio, express The 1-norm of express The 2-norm of .

16. A low-carbon loss reduction optimization device for a distribution station area as claimed in claim 9, characterized in that: The intelligent optimization algorithm adopts one or more of a genetic algorithm, a particle swarm algorithm, an ant colony algorithm and a simulated annealing algorithm.

17. An electronic device, characterized in that: include: A memory for storing one or more programs; processor; When the one or more programs are executed by the processor, a low-carbon loss reduction optimization method for a distribution station area as described in any one of claims 1-8 is implemented.

18. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, a low-carbon loss reduction optimization method for a distribution station area as described in any one of claims 1 to 8 is implemented.

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